What Does the Provided Script Do With Ten Scores?

What does the provided script do with ten scores, including sorting, printing, sum calculation, and average calculation?

The provided script is written in Python and aims to perform the following tasks: reading in ten scores, sorting them in descending order, printing them out, calculating their sum, and calculating their average. It utilizes a loop to prompt the user to input each score, which is then added to the `scores` list. The `sorted()` function is used to sort the scores in descending order and store them in the `sorted_scores` list. The ordered scores are then printed. The sum of the scores is calculated using the `sum()` function on `sorted_scores` and assigned to the variable `score_sum`. The average is calculated by dividing `score_sum` by the length of `sorted_scores`. Finally, the script displays the sum and average values. By executing this script, the user can input scores and obtain the ordered scores, sum, and average based on the provided input.

Explanation:

Reading in Ten Scores: The script prompts the user to input ten scores using a loop. Each score entered by the user is added to the `scores` list. Sorting in Descending Order: The `sorted()` function is used to sort the scores in descending order. The sorted scores are stored in the `sorted_scores` list. Printing Ordered Scores: Once the scores are sorted, the script prints out the ordered scores to the user. Calculating Sum: The sum of all the scores is calculated using the `sum()` function applied to the `sorted_scores` list. The total sum is assigned to the variable `score_sum`. Calculating Average: To calculate the average of the scores, the script divides the total sum (`score_sum`) by the length of the list of sorted scores. This gives the average score. Displaying Sum and Average: Finally, the script displays the calculated sum and average values to the user, providing a comprehensive overview of the input scores. This script offers a convenient way to input, organize, and analyze scores efficiently in Python, making it a useful tool for tasks that involve handling numerical data.
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